摘要
提出一种权函数电力系统状态估计算法,该方法将加权最小二乘法(WLS)和加权最小绝对值(WLAV)二者之优点综合于一体,在计算过程中以残差变化量作为加速因子,修正权函数,使迭代次数明显减少,加快了算法的计算速度。用IEEE 14节点验证了此方法的优越性。
This paper presents a new state estimation based on weight function.This method takes advantages from both WLS and WLAV. During the solution iterations,the residual change is used as accelerating factor to revise weight function,so it can reduce the amount of calculation and speed up the calculation greatly.The proposed algorithm is tested on IEEE-14.
出处
《太原理工大学学报》
CAS
2004年第2期146-148,共3页
Journal of Taiyuan University of Technology
基金
山西省自然科学基金项目(20021038)
关键词
电力系统
状态估计
权函数
power systems
state estimation
weight function
